Glean vs You.com

Glean connects your company's apps, documents, and permissions into one enterprise search and Work AI platform. Employees ask questions in natural language, get answers grounded in Slack, Google Drive, Jira, Confluence, Salesforce, and hundreds of other sources, then automate follow-up work with assistants and agents. The system respects existing access controls so people only see what they are already allowed to view.

Generic AI chat tools send broad prompts to models without your org chart, ticket history, or doc permissions baked in. Glean indexes enterprise context once, maps relationships in an Enterprise Graph, and claims a 30% reduction in token usage compared with off-the-shelf MCP tools because less irrelevant text reaches the model. That matters when every department is spinning up agents on the same data.

IT, engineering, sales, support, and HR teams at companies like Booking.com, Zillow, and Samsung use Glean to find answers faster, build no-code agents, and cut internal support tickets. Deployment is demo-led: you request access through Glean's sales flow rather than self-serve signup.

You.com sells web search APIs built for AI apps that need live internet data instead of a model's training cutoff. Developers call REST endpoints or connect through an MCP server to pull structured web and news results, full page text, citation-grounded answers, and multi-step research outputs. The product targets RAG pipelines, agents, and enterprise apps where freshness and source links matter.

Where general search APIs often return raw links, You.com returns LLM-ready snippets, optional query-relevant highlights, and unified web plus news in one request. It also ships separate Answer, Research, and Finance Research endpoints when a single search call is not enough. The free MCP profile needs no API key, which is unusual for a paid search provider and lowers the barrier for quick agent experiments.

Engineering teams building agents, fintech workflows, or internal knowledge tools are the core audience. Product and data teams use it when they need cited answers, domain filters, freshness controls, or SOC 2 and zero data retention options for regulated environments.